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ICT_Impact on Society1

Quiz by MrsAdams

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23 questions
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  • Q1
    mineral prospecting, investment analysis, financial planning, insurance planning, car engine fault diagnosis, medical diagnosis, route scheduling for delivery vehicles, plant identification, animal identification
    9 fields that use expert systems in organisations (5a) (syllabus)
    30s
  • Q2
    producing probabilities from given data (i.e. interpreting prospecting data)
    The function that expert systems provide when used in mineral prospecting (5a) (syllabus)
    30s
  • Q3
    Deducing future events from current data (done through prediction)
    One way in which expert systems are used in insurance planning (5a) (syllabus)
    30s
  • Q4
    producing possible solutions from given data (possible solutions are presented all through the diagnosis)
    Ways expert systems are used in animal identification (5a) (syllabus)
    30s
  • Q5
    computer, laser printer
    Hardware | Expert system (5a) (syllabus)
    30s
  • Q6
    knowledge base editor, inference engine
    Software requirements for running/using an expert system (5a) (syllabus)
    30s
  • Q7
    expert system
    A computer system that emulates the decision-making ability of a human expert. They are designed to solve complex problems by reasoning about knowledge, represented primarily as if-then rules rather than through conventional procedural code.
    30s
  • Q8
    inference engine, knowledge base
    The two sub-systems that make up an expert system.
    30s
  • Q9
    knowledge base
    The name for the data or facts gathered from many different experts that is used in the inference engine of an expert system
    30s
  • Q10
    rules base
    A set of rules that an inference engine uses (expert system)
    30s
  • Q11
    knowledge engineer
    An engineer that collects information and knowledge from subject specialists when employed to create an expert system.
    30s
  • Q12
    knowledge base, rules base
    Two things which a knowledge engineer designs (in an expert system)
    30s
  • Q13
    user interface, explanation system, inference engine, knowledge base editor
    Four parts that make up the interaction part of an expert system
    30s
  • Q14
    facts (data), rules base
    Two parts that make up the knowledge base of an expert system
    30s
  • Q15
    reduces the time taken to solve a problem, is more accurate than a single expert as it is based on the knowledge of many experts, improves customer/patient service, saves companies money, can allow a firm to hire a less skilled workforce
    Advantages of an expert based system
    30s

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